Aryal Madhava P, Nagaraja Tavarekere N, Brown Stephen L, Lu Mei, Bagher-Ebadian Hassan, Ding Guangliang, Panda Swayamprava, Keenan Kelly, Cabral Glauber, Mikkelsen Tom, Ewing James R
Department of Neurology, Henry Ford Hospital, Detroit, MI, USA.
NMR Biomed. 2014 Oct;27(10):1230-8. doi: 10.1002/nbm.3178. Epub 2014 Aug 14.
The distribution of dynamic contrast-enhanced MRI (DCE-MRI) parametric estimates in a rat U251 glioma model was analyzed. Using Magnevist as contrast agent (CA), 17 nude rats implanted with U251 cerebral glioma were studied by DCE-MRI twice in a 24 h interval. A data-driven analysis selected one of three models to estimate either (1) plasma volume (vp), (2) vp and forward volume transfer constant (K(trans)) or (3) vp, K(trans) and interstitial volume fraction (ve), constituting Models 1, 2 and 3, respectively. CA distribution volume (VD) was estimated in Model 3 regions by Logan plots. Regions of interest (ROIs) were selected by model. In the Model 3 ROI, descriptors of parameter distributions--mean, median, variance and skewness--were calculated and compared between the two time points for repeatability. All distributions of parametric estimates in Model 3 ROIs were positively skewed. Test-retest differences between population summaries for any parameter were not significant (p ≥ 0.10; Wilcoxon signed-rank and paired t tests). These and similar measures of parametric distribution and test-retest variance from other tumor models can be used to inform the choice of biomarkers that best summarize tumor status and treatment effects.
分析了大鼠U251胶质瘤模型中动态对比增强磁共振成像(DCE-MRI)参数估计值的分布情况。以钆喷酸葡胺作为对比剂(CA),对17只植入U251脑胶质瘤的裸鼠进行DCE-MRI研究,在24小时内间隔两次进行扫描。通过数据驱动分析从三种模型中选择一种来估计:(1)血浆容积(vp),(2)vp和正向容积转移常数(K(trans)),或(3)vp、K(trans)和组织间隙容积分数(ve),分别构成模型1、模型2和模型3。通过Logan图在模型3区域估计CA分布容积(VD)。根据模型选择感兴趣区域(ROI)。在模型3的ROI中,计算参数分布的描述指标——均值、中位数、方差和偏度,并在两个时间点之间进行比较以评估重复性。模型3的ROI中所有参数估计值的分布均呈正偏态。任何参数的总体汇总重测差异均无统计学意义(p≥0.10;Wilcoxon符号秩检验和配对t检验)。来自其他肿瘤模型的这些以及类似的参数分布和重测方差测量方法,可用于指导选择最能概括肿瘤状态和治疗效果的生物标志物。